Top Remote Senior Level Product Manager Jobs in Denver & Boulder, CO

Own the vision and roadmap for Huntress's internal data platform and data products. Drive data quality, governance, self-service analytics, and cross-functional adoption. Translate business needs into data product requirements, lead stakeholders, and prioritize initiatives to enable scalable, governed, and AI-enabled data solutions.

The role involves owning the strategic roadmap for ERM functions, managing product delivery in Agile teams, and collaborating across diverse business units to align product outcomes with Coinbase's strategic goals.

The Senior Product Manager will lead financial reporting product roadmap, manage data lineage, and collaborate on engineering and accounting interfaces to ensure compliance and operational efficiency.

The Staff Product Manager will oversee Webflow's subscriptions and payments experience, collaborating with engineering and design to build scalable systems, manage metrics, and ensure compliance.

Manage new product development for the Ninja Coffee category from concept to launch, collaborating with various teams and mentoring junior members.

Drive product vision, collaborate with engineering teams, engage with stakeholders, prioritize features, and shape customer experiences in a remote setting.

The Senior Product Manager will lead Provider Experience, simplifying workflows and enhancing clinician support through effective system management and cross-functional collaboration.

As a Senior Product Manager, you will lead hardware projects, manage vendor relationships, analyze product performance, and ensure customer needs are met to drive innovation for Toast's product offerings.

Lead product strategy and roadmap for GovCloud IT services, ensuring FedRAMP/NIST/CJIS compliance. Partner with InfoSec, DevOps, and stakeholders to deliver secure, scalable cloud solutions, drive governance, manage backlogs, define KPIs, and execute agile delivery for government customers.

Lead technical product development for the DSP platform: define APIs and platform governance, drive ML/AI optimization for bidding and pacing, ensure scalable low-latency systems, partner with Engineering and Data Science, deliver reporting and attribution, manage technical debt, and drive cross-team adoption and monetization of platform capabilities.